AOV Report template for Marketing teams and agencies

Get the actual AOV on Looker Studio template used by Porter to monitor E-commerce performance.

Meet the author

Porter

This template is built by the same marketers behind all our tutorials, support, and our template gallery.

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Template setup

Copy-paste the same dashboards that other teams and agencies use to monitor their E-commerce performance

AOV Report template overview

Enhance your marketing strategy with this AOV report template designed for e-commerce and Shopify platforms.
  • Track Key Metrics: Monitor essential metrics such as Ad Spend, Impressions, Clicks, Sales, Orders, and Revenue to evaluate campaign performance.
  • Analyze Customer Behavior: Gain insights into customer interactions by examining Conversion Rate, Average Order Value, and Session Duration.
  • Identify Trends: Use data on Product Name, Product Category, and Traffic Source to understand market trends and customer preferences.
  • Optimize Campaigns: Assess the effectiveness of different campaigns by analyzing metrics like Campaign Name, Date, and Traffic Source.
  • Improve User Experience: Evaluate Bounce Rate and Session Duration to identify areas for enhancing user engagement.
  • Comprehensive Reporting: Generate detailed reports with Customer Name, Customer ID, Order ID, and Product ID for in-depth analysis.
Leverage this template to make informed decisions and drive your marketing efforts towards success.

Features

100% custom charts

White-label

Custom metrics​

All-time historical data

Schedule email alerts​

Filters

Interactive

Goals​

Data blending

FAQs

A AOV report should include breaking down metrics by visibility (number of impressions, reach), engagement (click-through rate, average session duration), and conversion metrics (conversion rate, average order value). It should segment data by campaign (e.g., Summer Sale, Black Friday), channel (e.g., website, social media), audience (demographics, interests), content (e.g., blog posts, product descriptions), objective (e.g., brand awareness, lead generation), and date. For example, the report may provide visibility metrics for the Summer Sale campaign on social media targeting younger audience, engagement metrics for blog posts related to new product launches, and conversion metrics for lead generation objective through email marketing.
To analyze the data on this array, you should consider the following steps: 1) Choose metrics: Break down visibility metrics by impressions, reach, and click-through rates. Break down engagement metrics by likes, shares, and comments. Break down conversion metrics by conversion rate, cost per conversion, and return on ad spend. 2) Add context: Compare metrics against the goals set for each campaign, evaluate the cost per conversion in relation to the allocated budget, assess the data within a specific date range to identify trends, and compare the metrics against industry benchmarks to determine performance. 3) Segment data: Segment the data by campaign type (e.g., awareness, consideration, conversion), channel (e.g., Facebook, Instagram), audience demographics (e.g., age, gender), specific content or ad creative, objective (e.g., brand awareness, lead generation), and date to analyze the performance variations across different segments. For example, analyze the conversion rate for a lead generation campaign targeted at millennial females on Instagram during a specific date range.
To build an Average Order Value (AOV) dashboard, 1) connect your ecommerce platform and Google Analytics accounts to gather sales and customer data. 2) Select metrics such as total revenue, number of orders, and individual order values to monitor performance. 3) Segment data by campaign, marketing channel, audience demographics, product categories, customer content preferences, sales objectives, and date ranges. 4) Add filters for different time periods, product categories, or customer segments to make your report interactive. 5) Share your AOV dashboard via PDF, scheduled emails, or direct links to relevant stakeholders.
An AOV (Average Order Value) dashboard is a tool used in e-commerce, particularly on platforms like Shopify, to track and analyze the average amount spent by customers per order. This dashboard typically includes metrics such as sales, orders, revenue, and conversion rates, helping businesses understand purchasing patterns and optimize their strategies to increase AOV. It may also integrate data on ad spend, impressions, clicks, and other relevant metrics to provide a comprehensive view of performance.
Can I download this template in PDF?